code: def __init__(self, epochs, batch_size, callback_args=None):
      self.optimizer = tf.keras.optimizers.SGD(
          lr=0.1, decay=1e-6, momentum=0.9, nesterov=True
      )
      self.loss = "mean_squared_error"
      self.epochs = epochs
      self.batch_size = batch_size
      self.model = None
      self.callback_args = callback_args
  
file_path: nlp-architect/nlp_architect/models/most_common_word_sense.py
imports: import tensorflow
label_desc: Use image node_id 1 to create a new MostCommonWordSense object from inherited base classes: object with example: obj = MostCommonWordSense(epochs, batch_size, callback_args)